Structured methods for parameter inference and uncertainty quantification for mechanistic models in the life sciences
Fuente:
arXiv
Saved in:
| Main Authors: | Plank, Michael J., Simpson, Matthew J. |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
The evolution of systems biology and systems medicine: From mechanistic models to uncertainty quantification
by: Qiao, Lingxia, et al.
Published: (2024)
by: Qiao, Lingxia, et al.
Published: (2024)
Exploring accuracy and uncertainty quantification in physics-informed neural networks for inferring microbial community dynamics
by: Fontanarrosa, Pedro, et al.
Published: (2025)
by: Fontanarrosa, Pedro, et al.
Published: (2025)
A decision-theoretic framework for uncertainty quantification in epidemiological modelling
by: Steyn, Nicholas, et al.
Published: (2025)
by: Steyn, Nicholas, et al.
Published: (2025)
LASSO-ODE: A framework for mechanistic model identifiability and selection in disease transmission modeling
by: Tan, Jiale, et al.
Published: (2025)
by: Tan, Jiale, et al.
Published: (2025)
Continuation methods as a tool for parameter inference in electrophysiology modeling
by: Owen, Matt J, et al.
Published: (2025)
by: Owen, Matt J, et al.
Published: (2025)
When do trajectories matter? Identifiability analysis for stochastic transport phenomena
by: Simpson, Matthew J, et al.
Published: (2026)
by: Simpson, Matthew J, et al.
Published: (2026)
Parameter inference in a computational model of hemodynamics in pulmonary hypertension
by: Colunga, Amanda L., et al.
Published: (2021)
by: Colunga, Amanda L., et al.
Published: (2021)
Extended molt phenology models improve inferences about molt duration and timing
by: Boersch-Supan, Philipp H., et al.
Published: (2022)
by: Boersch-Supan, Philipp H., et al.
Published: (2022)
A nonparametric approach to practical identifiability of nonlinear mixed effects models
by: Cassidy, Tyler, et al.
Published: (2025)
by: Cassidy, Tyler, et al.
Published: (2025)
The microbiome science of composting and human excrement composting: a review
by: Meilander, Jeff, et al.
Published: (2024)
by: Meilander, Jeff, et al.
Published: (2024)
Compositional amortized inference for large-scale hierarchical Bayesian models
by: Arruda, Jonas, et al.
Published: (2025)
by: Arruda, Jonas, et al.
Published: (2025)
Increasing certainty in systems biology models using Bayesian multimodel inference
by: Linden-Santangeli, Nathaniel, et al.
Published: (2024)
by: Linden-Santangeli, Nathaniel, et al.
Published: (2024)
Last-layer committee machines for uncertainty estimations of benthic imagery
by: Gillis, H. Martin, et al.
Published: (2025)
by: Gillis, H. Martin, et al.
Published: (2025)
Uncertainty quantification of receptor ligand binding sites prediction
by: Chen, Nanjie, et al.
Published: (2024)
by: Chen, Nanjie, et al.
Published: (2024)
The ultimate issue error in scientific inference: mistaking parameters for hypotheses
by: Lazic, Stanley E.
Published: (2024)
by: Lazic, Stanley E.
Published: (2024)
A four-step Bayesian workflow for improving ecological science
by: Wolkovich, EM, et al.
Published: (2024)
by: Wolkovich, EM, et al.
Published: (2024)
Efficient gPC-based quantification of probabilistic robustness for systems in neuroscience
by: Sutulovic, Uros, et al.
Published: (2024)
by: Sutulovic, Uros, et al.
Published: (2024)
Explainable Deep Learning Framework for SERS Bio-quantification
by: Zaki, Jihan K., et al.
Published: (2024)
by: Zaki, Jihan K., et al.
Published: (2024)
Individualized prescriptive inference in ischaemic stroke
by: Giles, Dominic, et al.
Published: (2023)
by: Giles, Dominic, et al.
Published: (2023)
A Bayesian approach to model uncertainty in single-cell genomic data
by: Ren, Shanshan, et al.
Published: (2025)
by: Ren, Shanshan, et al.
Published: (2025)
Trans-dimensional Bayesian model averaging for $^{13}$C-based metabolic flux analysis: Evidence-based flux inference under structural model uncertainty
by: Jadebeck, Johann F., et al.
Published: (2026)
by: Jadebeck, Johann F., et al.
Published: (2026)
A generalisation of the method of regression calibration and comparison with Bayesian and frequentist model averaging methods
by: Little, Mark P, et al.
Published: (2023)
by: Little, Mark P, et al.
Published: (2023)
Sparse regression, classification, and microbial network estimation in QIIME2 with q2-classo and q2-gglasso
by: Vlasovets, Oleg, et al.
Published: (2026)
by: Vlasovets, Oleg, et al.
Published: (2026)
NORI: Fast probabilistic inference for ambiguous observation-entity mappings
by: Van de Vyver, Simon, et al.
Published: (2026)
by: Van de Vyver, Simon, et al.
Published: (2026)
Collective inference of the truth of propositions from crowd probability judgments
by: Stinson, Patrick, et al.
Published: (2025)
by: Stinson, Patrick, et al.
Published: (2025)
AI-powered simulation-based inference of a genuinely spatial-stochastic model of early mouse embryogenesis
by: Ramirez-Sierra, Michael A., et al.
Published: (2024)
by: Ramirez-Sierra, Michael A., et al.
Published: (2024)
Omics-driven hybrid dynamic modeling of bioprocesses with uncertainty estimation
by: Espinel-Ríos, Sebastián, et al.
Published: (2024)
by: Espinel-Ríos, Sebastián, et al.
Published: (2024)
Exploration of methods for computing sensitivities in ODE models at dynamic and steady states
by: Lakrisenko, Polina, et al.
Published: (2024)
by: Lakrisenko, Polina, et al.
Published: (2024)
Generative diffusion model surrogates for mechanistic agent-based biological models
by: Comlekoglu, Tien, et al.
Published: (2025)
by: Comlekoglu, Tien, et al.
Published: (2025)
A likelihood-based Bayesian inference framework for the calibration of and selection between stochastic velocity-jump models
by: Ceccarelli, Arianna, et al.
Published: (2025)
by: Ceccarelli, Arianna, et al.
Published: (2025)
Simulation-based inference of yeast centromeres
by: Touron, Eloïse, et al.
Published: (2025)
by: Touron, Eloïse, et al.
Published: (2025)
HyperEvoGen: Exploring deep phylogeny using non-Euclidean variational inference
by: Lamanna, Jason, et al.
Published: (2026)
by: Lamanna, Jason, et al.
Published: (2026)
Estimation of end-of-outbreak probabilities in the presence of delayed and incomplete case reporting
by: Plank, M. J., et al.
Published: (2024)
by: Plank, M. J., et al.
Published: (2024)
A primer on inference and prediction with epidemic renewal models and sequential Monte Carlo
by: Steyn, Nicholas, et al.
Published: (2025)
by: Steyn, Nicholas, et al.
Published: (2025)
An information-based model selection criterion for data-driven model discovery
by: Chung, Michael C, et al.
Published: (2026)
by: Chung, Michael C, et al.
Published: (2026)
Uncertainty quantification in flow cytometry using a cell sorter
by: Krishnaswamy-Usha, Amudhan, et al.
Published: (2024)
by: Krishnaswamy-Usha, Amudhan, et al.
Published: (2024)
Modelling N2O dynamics of activated sludge biomass under nitrifying and denitrifying conditions: pathway contributions and uncertainty analysis
by: Domingo-Félez, Carlos, et al.
Published: (2018)
by: Domingo-Félez, Carlos, et al.
Published: (2018)
How high-resolution agent-based models can improve fundamental insights in tissue development and cell culturing methods
by: Van Liedekerke, Paul, et al.
Published: (2026)
by: Van Liedekerke, Paul, et al.
Published: (2026)
Quantifying the uncertainty of molecular dynamics simulations : Good-Turing statistics revisited
by: Tsampazi, Vasiliki, et al.
Published: (2026)
by: Tsampazi, Vasiliki, et al.
Published: (2026)
Abstract relational structures in models of biology
by: Diaz, Léo, et al.
Published: (2026)
by: Diaz, Léo, et al.
Published: (2026)
Similar Items
-
The evolution of systems biology and systems medicine: From mechanistic models to uncertainty quantification
by: Qiao, Lingxia, et al.
Published: (2024) -
Exploring accuracy and uncertainty quantification in physics-informed neural networks for inferring microbial community dynamics
by: Fontanarrosa, Pedro, et al.
Published: (2025) -
A decision-theoretic framework for uncertainty quantification in epidemiological modelling
by: Steyn, Nicholas, et al.
Published: (2025) -
LASSO-ODE: A framework for mechanistic model identifiability and selection in disease transmission modeling
by: Tan, Jiale, et al.
Published: (2025) -
Continuation methods as a tool for parameter inference in electrophysiology modeling
by: Owen, Matt J, et al.
Published: (2025)